Medical science monitor : international medical journal of experimental and clinical research · 2016
Over-Expression of POU Class 1 Homeobox 1 Transcription Factor (Pit-1) Predicts Poor Prognosis for Breast Cancer Patients.
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Gao Zhongcheng, Xue Kecheng, Zhang Lianfang, Wei Meng
Аннотация
BACKGROUND: The POU class 1 homeobox 1 transcription factor (POU1F1, also known as Pit-1) was reported to be associated with tumor progression and metastasis. The purpose of this study was to evaluate the prognostic value of Pit-1 in breast cancer patients.
MATERIAL AND METHODS: The relative expression levels of Pit-1 in breast cancer patients were detected by quantitative real-time PCR (qRT-PCR). Chi-square analysis was used to analyze the association between Pit-1 expression and clinical features. The Kaplan-Meier method was used to estimate the overall survival of the patients and Cox regression analysis was used to analyze the prognostic value of Pit-1.
RESULTS: Increased expression of Pit-1 was detected in the tumor tissues compared with the normal tissues (1.086 vs. 0.541) and the abnormal expression was associated with tumor size, clinical stage, tumor grade, and lymph node metastasis (P<0.05). High expression level of Pit-1 was significantly associated with poor overall survival of the patients (P=0.001) and Cox regression analysis indicated that Pit-1 might be a prognostic factor for breast cancer prognosis (HR=1.955, 95% CI=1.295-3.035, P=0.003).
CONCLUSIONS: Pit-1 may be a potential prognostic biomarker for breast cancer patients and it is associated with tumor progression.
MATERIAL AND METHODS: The relative expression levels of Pit-1 in breast cancer patients were detected by quantitative real-time PCR (qRT-PCR). Chi-square analysis was used to analyze the association between Pit-1 expression and clinical features. The Kaplan-Meier method was used to estimate the overall survival of the patients and Cox regression analysis was used to analyze the prognostic value of Pit-1.
RESULTS: Increased expression of Pit-1 was detected in the tumor tissues compared with the normal tissues (1.086 vs. 0.541) and the abnormal expression was associated with tumor size, clinical stage, tumor grade, and lymph node metastasis (P<0.05). High expression level of Pit-1 was significantly associated with poor overall survival of the patients (P=0.001) and Cox regression analysis indicated that Pit-1 might be a prognostic factor for breast cancer prognosis (HR=1.955, 95% CI=1.295-3.035, P=0.003).
CONCLUSIONS: Pit-1 may be a potential prognostic biomarker for breast cancer patients and it is associated with tumor progression.